Course Outline

Probability (3.5 hours)

  • Definition of probability
  • Binomial distribution
  • Everyday usage exercises

Statistics (10.5 hours)

  • Descriptive Statistics
  • Inferential Statistics
  • Regression
  • Logistic Regression
  • Exercises

Introduction to Programming (3.5 hours)

  • Procedural Programming
  • Functional Programming
  • OOP Programming
  • Exercises (writing logic for a game of choice, e.g., noughts and crosses)

Machine Learning (10.5 hours)

  • Classification
  • Clustering
  • Neural Networks
  • Exercises (write AI for a computer game of choice)

Rules Engines and Expert Systems (7 hours)

  • Introduction to Rule Engines
  • Write AI for the same game and combine solutions into a hybrid approach, tailored for government use cases

Requirements

  • None. All concepts, such as probability and statistics, will be explained during this course. If you are already familiar with probability and statistics, please refer to our course code aiint.

Audience

  • Beginners interested in learning Artificial Intelligence, Machine Learning, and programming for government applications.
 35 Hours

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